基于最大灵敏度神经网络的在线学习控制

Mario Aguilera-Ruiz, L. Torres-Treviño, A. Rodríguez-Liñán
{"title":"基于最大灵敏度神经网络的在线学习控制","authors":"Mario Aguilera-Ruiz, L. Torres-Treviño, A. Rodríguez-Liñán","doi":"10.1109/MICAI.2014.24","DOIUrl":null,"url":null,"abstract":"In this paper, a maximum sensibility neural network is proposed to make an online learning system of a inverse controller of a plant. This neural network is trained to learn the response of the plant to different random inputs. Once the network is trained, it can be used to control the plant to a desired output.","PeriodicalId":189896,"journal":{"name":"2014 13th Mexican International Conference on Artificial Intelligence","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Control by Online Learning Using a Maximum Sensibility Neural Network\",\"authors\":\"Mario Aguilera-Ruiz, L. Torres-Treviño, A. Rodríguez-Liñán\",\"doi\":\"10.1109/MICAI.2014.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a maximum sensibility neural network is proposed to make an online learning system of a inverse controller of a plant. This neural network is trained to learn the response of the plant to different random inputs. Once the network is trained, it can be used to control the plant to a desired output.\",\"PeriodicalId\":189896,\"journal\":{\"name\":\"2014 13th Mexican International Conference on Artificial Intelligence\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 13th Mexican International Conference on Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MICAI.2014.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 13th Mexican International Conference on Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICAI.2014.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文提出了一种最大灵敏度神经网络,用于构造一个对象逆控制器的在线学习系统。这个神经网络被训练来学习植物对不同随机输入的反应。一旦网络被训练,它就可以用来控制工厂达到期望的输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control by Online Learning Using a Maximum Sensibility Neural Network
In this paper, a maximum sensibility neural network is proposed to make an online learning system of a inverse controller of a plant. This neural network is trained to learn the response of the plant to different random inputs. Once the network is trained, it can be used to control the plant to a desired output.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信